Build the first complete AI system record.
Define scope, ownership, purpose, provider, deployment context, and the review cadence for one system.
Setup · fields · imports · ownershipActClarity documentation
Practical guides, workspace patterns, and implementation references for teams operationalising AI inventory, classification, evidence, and review readiness.
Built for U.S. and global AI governance teamsImplementation path
The documentation is organised around real workflows and accountable roles, with examples that can be adapted to your operating model.
Define scope, ownership, purpose, provider, deployment context, and the review cadence for one system.
Setup · fields · imports · ownershipUse practical prompts and examples to structure assessment work across legal and product teams.
Risk questions · transparency · obligations · decisionsDesign a maintenance rhythm that makes evidence usable at review time instead of merely stored.
Templates · ownership · freshness · exportsDocumentation library
Configure fields, roles, review stages, and inventory imports.
Understand the reasoning expected at each classification stage.
Use structured patterns for model cards, controls, and approvals.
Review access, history, exports, and governance responsibilities.
Operational guidance
ActClarity documentation explains what to capture, why it matters, and where teams still need to make and record their own decision.
Explore it with your own systemA practical first step
Map the system, walk through likely obligations, and see the evidence trail your teams can maintain together.
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